Objects of class ldmppr_grids define one or more grid "levels" used by
estimate_process_parameters. Each level contains numeric vectors
x, y, and t defining the approximation grid. Levels are
typically ordered from coarse to fine.
# S3 method for ldmppr_grids
print(x, ...)# S3 method for ldmppr_grids
summary(object, ...)
# S3 method for summary.ldmppr_grids
print(x, ...)
# S3 method for ldmppr_grids
as.data.frame(x, ...)
# S3 method for ldmppr_grids
length(x)
# S3 method for ldmppr_grids
[(x, i, ...)
# S3 method for ldmppr_grids
as.list(x, ...)
print()prints a brief description of bounds and grid levels.
summary()returns a summary.ldmppr_grids.
as.data.frame()returns one row per level with dimensions and ranges.
length()returns the number of levels.
[ ]subsets levels, preserving class.
as.list()returns the underlying list structure.
an object of class ldmppr_grids.
unused.
an object of class ldmppr_grids.
indices of levels to keep.
print(ldmppr_grids): Print a brief summary of a grid schedule.
summary(ldmppr_grids): Summarize a grid schedule.
print(summary.ldmppr_grids): Print a summary produced by summary.ldmppr_grids().
as.data.frame(ldmppr_grids): Convert a grid schedule to a data.frame.
length(ldmppr_grids): Number of levels in a grid schedule.
[: Subset grid levels.
as.list(ldmppr_grids): Extract the underlying list representation.
A ldmppr_grids is a list with (at minimum):
levels: list of levels; each level is a list with x, y, t
upper_bounds: numeric c(b_t, b_x, b_y)
labels: optional labels used only for printing
include_endpoints: logical